Startup profile for RADAR: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.

Startup profile · funding coverage

RADAR funding, valuation and investors

AI + RFID retail inventory platform giving stores item-level real-time stock visibility.

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Funding, valuation & investors

Answer-first snapshot

Latest funding

Series B

$170M · May 2026

Latest known valuation

$1B

Series B · May 2026

Total disclosed equity funding

$170M

Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.

Current status

private

series b · New York, New York

Investors in latest funding

Lead: Gideon Strategic Partners , Nimble Partners

Sources: latest funding · news.crunchbase.com Last verified: 2026-07-25

Overview

RADAR combines overhead RFID, software, and analytics so retailers get item-level real-time inventory visibility in physical stores. The New York company raised $170M Series B at $1B valuation in May 2026 led by Gideon Strategic Partners and Nimble Partners, with deployments in 1,400+ stores including American Eagle and Old Navy per Crunchbase News. Total funding approaches ~$310M.

Why RADAR is interesting

RADAR hit unicorn status with $170M Series B — applied AI with receipts in 1,400+ stores, not demo videos. Shrink and phantom inventory are P&L problems, not IT nice-to-haves.

Product & use cases

Overhead RFID plus AI analytics platform delivering item-level in-store inventory accuracy for retail chains.

  • Shrink reduction via item-level inventory tracking
  • Improved fill rates and backroom visibility
  • Labor hours saved on manual inventory counts

Key facts

  • Series B (May 2026): $170M at $1B valuation (Crunchbase News)
  • 1,400+ store deployments; American Eagle, Old Navy customers
  • NYC retail AI with item-level RFID visibility
  • ~$310M total funding per Crunchbase

Funding history (newest first)

Series B

2026-05 $170M Valuation: $1B
  • Gideon Strategic Partners (lead)
  • Nimble Partners (lead)

Source: Read source · news.crunchbase.com

Competitive landscape

Edge: Deployed at scale (1,400+ stores) with major retail logos — measurable ops metrics vs. pilot-stage retail AI.

Retail inventory tech requires enterprise logos and store-count proof. RADAR wins on RFID accuracy at scale; capital-intensive deployments and long retail sales cycles are constraints.

  • Avery Dennison incumbent

    RFID solutions incumbent; RADAR software+analytics layer.

  • Zebra Technologies incumbent

    Retail scanning and RFID hardware incumbent.

  • Trax adjacent

    In-store vision analytics; different sensing approach.

Notable stories

  • Unicorn round backed by store-count traction, not copilot demos.
  • NYC retail tech back in growth-equity conversations with ops metrics.

Industries

Market / IPO context

Editorial / static context — not a live quote.

Related funding articles

Venture Capital Tracker pieces that cover RADAR's financing or category context.

FAQs about RADAR

Practical answers founders, operators, and investors typically search for.

RADAR raised $170 million in Series B funding at a $1 billion valuation, led by Gideon Strategic Partners and Nimble Partners, per Crunchbase and VC News Daily.
Coverage cites deployment in 1,400+ stores for customers including American Eagle Outfitters and Old Navy, with nearly $310M raised to date.
Overhead RFID plus AI analytics platform delivering item-level in-store inventory accuracy for retail chains.
See fundraisingRounds — amounts only when verified in press or company announcements.
See competitors section for named alternatives.
Stage: series-b; status: private.
Not publicly disclosed unless noted in highlights.
We track strategically relevant startups with verified public disclosure for founder and investor research.

By Venture Capital Tracker

Last updated:

Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.